Michael Wiegand

Most-cited papers

A Survey on Hate Speech Detection using Natural Language Processing
Anna Schmidt, Michael Wiegand
2017SocialNLP@EACL1,448 citations Open access
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Overview of the GermEval 2018 Shared Task on the Identification of Offensive Language
Michael Wiegand, Melanie Siegel, Josef Ruppenhofer
2018373 citations
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A survey on the role of negation in sentiment analysis
Michael Wiegand, A. Balahur, Benjamin Roth, D. Klakow +1 more
2010NeSp-NLP@ACL292 citations
Semantic Scholar
Detection of Abusive Language: the Problem of Biased Datasets
Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer
2019North American Chapter of the Association for Computational Linguistics273 citations Open access
Semantic Scholar
Inducing a Lexicon of Abusive Words – a Feature-Based Approach
Michael Wiegand, Josef Ruppenhofer, Anna Schmidt, C. Greenberg
2018North American Chapter of the Association for Computational Linguistics159 citations Open access
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Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language
J. Struß, M. Siegel, Josef Ruppenhofer, Michael Wiegand +1 more
2019Conference on Natural Language Processing131 citations
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Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand
2021GERMEVAL88 citations
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Implicitly Abusive Language – What does it actually look like and why are we not getting there?
Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder
2021North American Chapter of the Association for Computational Linguistics84 citations Open access
Semantic Scholar
Effective Slot Filling Based on Shallow Distant Supervision Methods
Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh +1 more
2014Text Analysis Conference61 citations
Semantic Scholar
Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam +16 more
2022Conference and Labs of the Evaluation Forum60 citations Open access
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A survey of noise reduction methods for distant supervision
Benjamin Roth, Tassilo Barth, Michael Wiegand, D. Klakow
2013Conference on Automated Knowledge Base Construction59 citations
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Convolution Kernels for Opinion Holder Extraction
Michael Wiegand, D. Klakow
2010North American Chapter of the Association for Computational Linguistics59 citations
Semantic Scholar
MLSA — A Multi-layered Reference Corpus for German Sentiment Analysis
S. Clematide, Stefan Gindl, Manfred Klenner, Stefanos Petrakis +4 more
2012International Conference on Language Resources and Evaluation43 citations Open access
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Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection
Juliane Köhler, G. Shahi, J. Struß, Michael Wiegand +3 more
2022Conference and Labs of the Evaluation Forum37 citations
Semantic Scholar
Implicitly Abusive Comparisons – A New Dataset and Linguistic Analysis
Michael Wiegand, Maja Geulig, Josef Ruppenhofer
2021Conference of the European Chapter of the Association for Computational Linguistics23 citations Open access
Semantic Scholar
Comparing methods for deriving intensity scores for adjectives
Josef Ruppenhofer, Michael Wiegand, Jasper Brandes
2014Conference of the European Chapter of the Association for Computational Linguistics23 citations Open access
Semantic Scholar
The Alyssa System at TREC QA 2007: Do We Need Blog06?
Dan Shen, Michael Wiegand, A. Merkel, Stefan Kazalski +3 more
2007Text Retrieval Conference22 citations
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Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach
Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer
2022North American Chapter of the Association for Computational Linguistics21 citations Open access
Semantic Scholar
IGGSA Shared Tasks on German Sentiment Analysis (GESTALT)
Josef Ruppenhofer, Roman Klinger, J. Struß, Jonathan Sonntag +1 more
201421 citations
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A Gold Standard for Relation Extraction in the Food Domain
Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser +1 more
2012International Conference on Language Resources and Evaluation21 citations Open access
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Web-Based Relation Extraction for the Food Domain
Michael Wiegand, Benjamin Roth, D. Klakow
2012International Conference on Applications of Natural Language to Data Bases21 citations
Semantic Scholar
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
Michael Wiegand, D. Klakow
2012Conference of the European Chapter of the Association for Computational Linguistics18 citations
Semantic Scholar
Grain growth and precipitation behaviour of AISI 430 ferritic stainless steel subjected to pulsed laser beam welding using free-form pulse shaping
N. Sommer, F. Stredak, Michael Wiegand, S. Böhm
2022Welding in the World17 citations Open access
Semantic Scholar
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Benjamin Roth
2017International Joint Conference on Natural Language Processing17 citations
Semantic Scholar
The Role of Knowledge-based Features in Polarity Classification at Sentence Level
Michael Wiegand, D. Klakow
2009The Florida AI Research Society17 citations
Semantic Scholar
A growth model for Islamic banking
N. Benaissa, M. P. Parekh, Michael Wiegand
200517 citations
Semantic Scholar
Dissimilar micro beam welding of titanium to Nitinol and stainless steel using biocompatible filler materials for medical applications
Michael Wiegand, L. Marks, N. Sommer, S. Böhm
2022Welding in the World16 citations Open access
Semantic Scholar
Relation Extraction for the Food Domain without Labeled Training Data - Is Distant Supervision the Best Solution?
Melanie Reiplinger, Michael Wiegand, D. Klakow
2014PolTAL16 citations
Semantic Scholar
Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010
Grzegorz Chrupała, S. Momtazi, Michael Wiegand, Stefan Kazalski +4 more
2010Text Analysis Conference16 citations
Semantic Scholar
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach
Michael Wiegand, Christine Bocionek, Josef Ruppenhofer
2016North American Chapter of the Association for Computational Linguistics15 citations Open access
Semantic Scholar
Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Michael Wiegand, Josef Ruppenhofer
2015Conference on Computational Natural Language Learning14 citations Open access
Semantic Scholar
Exploiting Emojis for Abusive Language Detection
Michael Wiegand, Josef Ruppenhofer
2021Conference of the European Chapter of the Association for Computational Linguistics13 citations Open access
Semantic Scholar
High Temperature Data Retention of Ferroelectric Memory on 130nm and 180nm CMOS
John A. Rodriguez, C. Zhou, T. Graf, R. Bailey +8 more
2016International Memory Workshop13 citations
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On the Intergranular Corrosion Properties of Thin Ferritic Stainless Steel Sheets Welded by Fiber-Laser
N. Sommer, I. Kryukov, C. Wolf, Michael Wiegand +2 more
2020Metals12 citations Open access
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Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
Michael Wiegand, Benjamin Roth, D. Klakow
2014Conference of the European Chapter of the Association for Computational Linguistics12 citations Open access
Semantic Scholar
Introducing a Lexicon of Verbal Polarity Shifters for English
Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Stephanie Köser
2018International Conference on Language Resources and Evaluation11 citations Open access
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Ordering adverbs by their scaling effect on adjective intensity
Josef Ruppenhofer, Jasper Brandes, Petra C. Steiner, Michael Wiegand
2015Recent Advances in Natural Language Processing11 citations
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Bootstrapping polarity classifiers with rule-based classification
Michael Wiegand, Manfred Klenner, D. Klakow
2013Language Resources and Evaluation11 citations Open access
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Data-driven knowledge extraction for the food domain
Michael Wiegand, Benjamin Roth, D. Klakow
2012Conference on Natural Language Processing11 citations
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Euphemistic Abuse - A New Dataset and Classification Experiments for Implicitly Abusive Language
Michael Wiegand, Jana Kampfmeier, Elisabeth Eder, Josef Ruppenhofer
2023Conference on Empirical Methods in Natural Language Processing10 citations Open access
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“Beste Grüße, Maria Meyer” — Pseudonymization of Privacy-Sensitive Information in Emails
Elisabeth Eder, Michael Wiegand, Ulrike Krieg-Holz, U. Hahn
2022International Conference on Language Resources and Evaluation10 citations Open access
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Overview of the IGGSA 2016 Shared Task on Source and Target Extraction from Political Speeches
Josef Ruppenhofer, J. Struß, Michael Wiegand
201610 citations
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Topic-Related Polarity Classification of Blog Sentences
Michael Wiegand, D. Klakow
2009Portuguese Conference on Artificial Intelligence10 citations
Semantic Scholar
Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012
Benjamin Roth, Grzegorz Chrupała, Michael Wiegand, Mittul Singh +1 more
2012Text Analysis Conference9 citations
Semantic Scholar
Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification
Michael Wiegand, D. Klakow
20109 citations
Semantic Scholar
Electron Beam Welding of Hot-Rolled Fe–Mn–Al–Ni Shape Memory Alloy Sheets
A. Bauer, Michael Wiegand, P. Wicke, N. Sommer +3 more
2023Shape Memory and Superelasticity8 citations Open access
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Not My President: How Names and Titles Frame Political Figures
Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand +1 more
2019Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science8 citations Open access
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Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing
E. Vanmassenhove, J. Monti, Mei-Chun Jiao, Ziyang Luo +496 more
20217 citations Open access
Semantic Scholar
Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
Michael Wiegand, Marc Schulder, Josef Ruppenhofer
2015WASSA@EMNLP7 citations Open access
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Towards the Detection of Reliable Food-Health Relationships
Michael Wiegand, D. Klakow
20137 citations
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